# ECE 301 Signals and Systems

## Course Information

• Instructor:  Sarah Koskie

• Email:  skoskie@iupui.edu

• Lectures:   TR 10:30–11:45 am in SL 109

• Office Hours:   TR 11:45 am –1:00 pm, or by appointment, in SL 164F

• Textbook:   Linear Systems and Signals, 2nd ed. by B. P. Lathi, Oxford University Press, 2005.

• 15% Homework
• 50% Midterm Exams (25% each)
• 35% Final Exam (noncumulative)

• Practice Exam 2    (Updated November 16, 2006)

• Practice Exam 2 Solution    (Updated November 16, 2006)

• Formula Sheet for Final Exam    (Updated December 11, 2006)

• Practice Final Exam with Solution    (Updated December 07, 2006)

• Course Information Sheet    (Updated August 23, 2006)

• Homework Assignments    (Updated December 1, 2006)

• Homework Solutions    (Updated December 11, 2006)

• Exam Solutions    (Updated November 29, 2006)

• Some Useful Links:

• ABET Course Outcomes:

"Upon successful completion of the course, students should be able to
1. Determine the Laplace, z-, and Fourier transforms of continuous and discrete signals and systems. . . . Determine the state transition matrices for linear dynamic systems to study the dynamic responses.
2. Determine the conditions [for stability] and study the stability of systems and convergence of signals (continuous- and discrete-time).
3. Determine and apply the appropriate methods and techniques to study transient responses and stability after determining the nature of the signals and systems.
4. Determine the system's (filter's) attenuation capabilities using . . . analysis in the frequency domain (Bode plots).
5. Determine the output of the continuous and discrete-time filters for . . . input signals of different magnitude and frequency.
6. Determine the state-space models for continuous and discrete systems.
7. Determine . . . system responses using . . . linear differential equations with initial conditions using the Laplace and z-transforms.
8. Determine the applicability of different methods (e.g., Laplace transform, continuous and discrete-time state-space, et cetera) for linear dynamic systems with applications to stability analysis and dynamic responses."